Coronary heart disease prediction models using machine learning and deep learning algorithms

Author:

Bernand Charles,Mirand Eka,Aryun Mediana

Publisher

AIP Publishing

Reference17 articles.

1. World Health Organization. Cardiovascular Disease [Internet]. World Health Organization. 2021 [cited 2021 Dec 3]. Available from: https://www.who.int/health-topics/cardiovascular-diseases/#tab=tab_1

2. Heart Disease Prediction using Machine Learning Techniques

3. Kementerian Kesehatan Republik Indonesia. Laporan Nasional RISKESDAS 2018. Kementrian Kesehat RI [Internet]. 2018 [cited 2022 Feb 13];1–582. Available from: https://www.mendeley.com/catalogue/80d64942-3cac-3d9b-9c20-0fad9a0250de/?utm_source=desktop&utm_medium=1.19.8&utm_campaign=open_catalog&userDocumentId=%7Bc04ab7f5-60ce-4989-8d58-e5275ddab716%7D

4. Dinas Kesehatan Republik Indonesia. Riset Kesehatan Dasar. Diabetes Mellit [Internet]. 2013 [cited 2022 Feb 13];87–90. Available from: https://www.mendeley.com/catalogue/596b72f7-cbe7-3d17-a785-97d15359668c/?utm_source=desktop&utm_medium=1.19.8&utm_campaign=open_catalog&userDocumentId=%7Bb961ddc7-7be3-448f-9bfa-c9d625d40c45%7D

5. Fitriyani WRNAP. Cardiovascular disease risk factors among blue and white-collar workers in Indonesia. Acta Medica Indones - Indones J Intern Med. 2018;50(2):96–103.

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